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09/06/2023
Image Aesthetics Assessment via Learnable Queries
Image aesthetics assessment (IAA) aims to estimate the aesthetics of ima...
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08/17/2023
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation
Recommender systems have been gaining increasing research attention over...
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08/03/2023
Unsupervised Representation Learning for Time Series: A Review
Unsupervised representation learning approaches aim to learn discriminat...
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05/25/2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks
Heterogeneous Graph Neural Networks (HGNNs) are a class of powerful deep...
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03/28/2023
StarNet: Style-Aware 3D Point Cloud Generation
This paper investigates an open research task of reconstructing and gene...
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03/21/2023
Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning
Sequential recommendation systems utilize the sequential interactions of...
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02/09/2023
A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions
Recommendation systems have become popular and effective tools to help u...
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01/28/2023
Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation
User interaction data in recommender systems is a form of dyadic relatio...
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12/28/2022
Towards AI-Empowered Crowdsourcing
Crowdsourcing, in which human intelligence and productivity is dynamical...
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12/02/2022
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series
Learning semantic-rich representations from raw unlabeled time series da...
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11/05/2022
Inductive Graph Transformer for Delivery Time Estimation
Providing accurate estimated time of package delivery on users' purchasi...
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08/21/2022
Revisiting Item Promotion in GNN-based Collaborative Filtering: A Masked Targeted Topological Attack Perspective
Graph neural networks (GNN) based collaborative filtering (CF) have attr...
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08/03/2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Noisy labels are commonly found in real-world data, which cause performa...
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03/30/2021
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
The existence of noisy labels in real-world data negatively impacts the ...
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01/29/2020
FOCUS: Dealing with Label Quality Disparity in Federated Learning
Ubiquitous systems with End-Edge-Cloud architecture are increasingly bei...
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08/30/2019
Generating Persuasive Visual Storylines for Promotional Videos
Video contents have become a critical tool for promoting products in E-c...
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12/07/2018
Building Ethics into Artificial Intelligence
As artificial intelligence (AI) systems become increasingly ubiquitous, ...
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07/02/2018